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A general class of univariate skew distributions considering Stein's lemma and infinite divisibility

机译:考虑斯坦因引理和无限可除性的一类单变量偏态分布

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In this article, we consider a general form of univariate skewed distributions. We denote this form by GUS(λ; h(x)) or GUS with density s(x{pipe}λ, h(x)) = 2f(x)G(λ h(x)), where f is a symmetric density, G is a symmetric differentiable distribution, and h(x) is an odd function. A special case of this general form, normal case, is derived and denoted by GUSN(λ; h(x)). Some representations and some main properties of GUS(λ; h(x)) are studied. The moments of GUSN(λ; h(x)) and SN(λ), the known skew normal distribution of Azzalini (1985), are compared and the relationship between them is given. As an application, we use it to construct a new form for skew t-distribution and skew Cauchy distribution. In addition, we extend Stein's lemma and study infinite divisibility of GUSN(λ; h(x)).
机译:在本文中,我们考虑单变量偏态分布的一般形式。我们用GUS(λ; h(x))或密度为s(x {pipe}λ,h(x))= 2f(x)G(λh(x))的GUS表示这种形式,其中f是对称的密度,G是对称可微分布,h(x)是奇函数。推导此一般形式的特殊情况,即正常情况,并用GUSN(λ; h(x))表示。研究了GUS(λ; h(x))的一些表示和一些主要性质。比较了ASNalini(1985)已知的斜正态分布GUSN(λ; h(x))和SN(λ)的矩,并给出了它们之间的关系。作为一个应用程序,我们使用它来构造偏斜t分布和偏斜柯西分布的新形式。此外,我们扩展了斯坦因引理并研究了GUSN(λ; h(x))的无限可分性。

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